{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# -*- coding: utf-8 -*-\n",
    "import gc\n",
    "import logging\n",
    "from abc import abstractmethod\n",
    "from copy import deepcopy\n",
    "from typing import Dict, List, Literal, Optional, Tuple, Union, cast\n",
    "\n",
    "import lightning as L\n",
    "import matplotlib as mpl\n",
    "import matplotlib.font_manager\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import torch\n",
    "import torch.utils.hooks\n",
    "from accelerate import init_empty_weights\n",
    "from torch import Tensor, nn\n",
    "from tqdm.auto import tqdm\n",
    "from transformers import AutoModelForCausalLM, LlamaForCausalLM\n",
    "from typing_extensions import override\n",
    "\n",
    "from fusion_bench.method import BaseModelFusionAlgorithm\n",
    "from fusion_bench.method.pruning.prune_utils import (\n",
    "    PruningType,\n",
    "    compute_sparsity,\n",
    "    find_linear_layers,\n",
    "    semistructured_magnitude_prune_,\n",
    "    unstructured_magnitude_prune_,\n",
    ")\n",
    "from fusion_bench.method.pruning.wanda_utils.data import get_loaders\n",
    "from fusion_bench.method.pruning.wanda_utils.prune import prepare_calibration_input\n",
    "from fusion_bench.mixins import SimpleProfilerMixin\n",
    "from fusion_bench.modelpool import CausalLMPool\n",
    "from fusion_bench.utils import cache_to_disk, print_parameters, timeit_context\n",
    "from fusion_bench.utils.devices import get_device\n",
    "\n",
    "# use times-new roman, no type 3 fonts\n",
    "plt.rcParams[\"pdf.fonttype\"] = 42\n",
    "plt.rcParams[\"ps.fonttype\"] = 42\n",
    "plt.rcParams[\"font.family\"] = \"Times New Roman\"\n",
    "# math font\n",
    "plt.rcParams[\"mathtext.fontset\"] = \"cm\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def load_model(model_path):\n",
    "    model = AutoModelForCausalLM.from_pretrained(\n",
    "        model_path,\n",
    "        torch_dtype=torch.float16,\n",
    "    )\n",
    "    return model\n",
    "\n",
    "\n",
    "def iterative_weight_update(W, S, mask, rank):\n",
    "    L = W - S\n",
    "    u, sigma, vh = torch.linalg.svd(L.float(), full_matrices=False)\n",
    "    v = vh.t()\n",
    "    rank = min(sigma.size(0) - 1, rank)\n",
    "    uk = u[:, rank:]\n",
    "    sk = sigma[rank:]\n",
    "    vk = v[:, rank:]\n",
    "    S = S + (mask * (uk @ torch.diag(sk) @ vk.t())).to(S.dtype)\n",
    "    spectrum_ratio = torch.sum(sigma[:rank] * sigma[:rank]) / torch.sum(sigma * sigma)\n",
    "    return (S, spectrum_ratio)\n",
    "\n",
    "\n",
    "def pcp_loss_with_mask(w, q, mask):\n",
    "    _lambda = 1 / np.sqrt(np.max(w.size()))\n",
    "    nuclear_loss = torch.linalg.matrix_norm((w * (~mask) + q * mask).float(), ord=\"nuc\")\n",
    "    l1_loss = _lambda * torch.linalg.matrix_norm((w * mask - q * mask).float(), ord=1)\n",
    "    return nuclear_loss + l1_loss\n",
    "\n",
    "\n",
    "def PCP_search_with_mask(w, mask, T_max=1000, lr=1e-2):\n",
    "    q = torch.zeros_like(w).float().requires_grad_(True)\n",
    "    optimizer = torch.optim.AdamW([q], lr=lr)\n",
    "    lr_scheduler = torch.optim.lr_scheduler.CosineAnnealingLR(\n",
    "        optimizer, T_max=T_max, eta_min=1e-1 * lr\n",
    "    )\n",
    "    for step_idx in tqdm(range(T_max)):\n",
    "        optimizer.zero_grad()\n",
    "        loss = pcp_loss_with_mask(w, q, mask)\n",
    "        loss.backward()\n",
    "        optimizer.step()\n",
    "        lr_scheduler.step()\n",
    "        if step_idx % (T_max // 20) == 0:\n",
    "            print(f\"Step {step_idx}: Loss {loss.item()}\")\n",
    "    s = w * mask - q * mask\n",
    "    return s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/data0/users/tanganke/anaconda3/envs/fusionbench/lib/python3.12/site-packages/transformers/generation/configuration_utils.py:546: UserWarning: `pad_token_id` should be positive but got -1. This will cause errors when batch generating, if there is padding. Please set `pad_token_id` explicitly by `model.generation_config.pad_token_id=PAD_TOKEN_ID` to avoid errors in generation, and ensure your `input_ids` input does not have negative values.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6c2552e3b2e14f9db3136a03ce14c76b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Loading checkpoint shards:   0%|          | 0/33 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "LlamaForCausalLM(\n",
       "  (model): LlamaModel(\n",
       "    (embed_tokens): Embedding(32000, 4096, padding_idx=31999)\n",
       "    (layers): ModuleList(\n",
       "      (0-31): 32 x LlamaDecoderLayer(\n",
       "        (self_attn): LlamaSdpaAttention(\n",
       "          (q_proj): Linear(in_features=4096, out_features=4096, bias=False)\n",
       "          (k_proj): Linear(in_features=4096, out_features=4096, bias=False)\n",
       "          (v_proj): Linear(in_features=4096, out_features=4096, bias=False)\n",
       "          (o_proj): Linear(in_features=4096, out_features=4096, bias=False)\n",
       "          (rotary_emb): LlamaRotaryEmbedding()\n",
       "        )\n",
       "        (mlp): LlamaMLP(\n",
       "          (gate_proj): Linear(in_features=4096, out_features=11008, bias=False)\n",
       "          (up_proj): Linear(in_features=4096, out_features=11008, bias=False)\n",
       "          (down_proj): Linear(in_features=11008, out_features=4096, bias=False)\n",
       "          (act_fn): SiLU()\n",
       "        )\n",
       "        (input_layernorm): LlamaRMSNorm((4096,), eps=1e-06)\n",
       "        (post_attention_layernorm): LlamaRMSNorm((4096,), eps=1e-06)\n",
       "      )\n",
       "    )\n",
       "    (norm): LlamaRMSNorm((4096,), eps=1e-06)\n",
       "    (rotary_emb): LlamaRotaryEmbedding()\n",
       "  )\n",
       "  (lm_head): Linear(in_features=4096, out_features=32000, bias=False)\n",
       ")"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model = load_model(\n",
    "    \"/data0/users/tanganke/data/huggingface_models/decapoda-research/llama-7b-hf\"\n",
    ")\n",
    "model.requires_grad_(False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "linear = deepcopy(model.model.layers[0].self_attn.q_proj).to(\"cuda:7\")\n",
    "# linear.weight.data = torch.rand_like(linear.weight.data)\n",
    "W = linear.weight[:512, :512].clone()\n",
    "S = unstructured_magnitude_prune_(\n",
    "    W.clone(),\n",
    "    metric_function_or_scores=torch.abs,\n",
    "    sparsity_ratio=0.5,\n",
    ")\n",
    "mask: Tensor = S != 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "0ab7c2d6ee494acf93c8268664f18978",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/5000 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 0: Loss 44.41257858276367\n",
      "Step 250: Loss 42.71278762817383\n",
      "Step 500: Loss 42.70803451538086\n",
      "Step 750: Loss 42.613487243652344\n",
      "Step 1000: Loss 42.47605514526367\n",
      "Step 1250: Loss 42.291507720947266\n",
      "Step 1500: Loss 42.101619720458984\n",
      "Step 1750: Loss 41.877281188964844\n",
      "Step 2000: Loss 41.66060256958008\n",
      "Step 2250: Loss 41.422828674316406\n",
      "Step 2500: Loss 41.156917572021484\n",
      "Step 2750: Loss 40.93293380737305\n",
      "Step 3000: Loss 40.698699951171875\n",
      "Step 3250: Loss 40.4942626953125\n",
      "Step 3500: Loss 40.29460144042969\n",
      "Step 3750: Loss 40.121707916259766\n",
      "Step 4000: Loss 39.972896575927734\n",
      "Step 4250: Loss 39.85190200805664\n",
      "Step 4500: Loss 39.76426315307617\n",
      "Step 4750: Loss 39.71201705932617\n"
     ]
    }
   ],
   "source": [
    "# Baseline 1: update weights with PCP\n",
    "pcp_s = PCP_search_with_mask(W, mask, T_max=5000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4089a3c176ba48dbb4f1810bdf2a8593",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ecf44deed5b74a5ba86be95c31ad7f30",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8ea271af5eb54696af446b1d0ef54e23",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "s_t = S.clone()\n",
    "for step_idx, rank in tqdm(enumerate(np.linspace(2, 64, 50, dtype=np.int64))):\n",
    "    s_t, spectrum_ratio = iterative_weight_update(W, s_t, mask.float(), rank=rank)\n",
    "    if spectrum_ratio > 0.99:\n",
    "        break\n",
    "ours_s_64 = s_t\n",
    "\n",
    "s_t = S.clone()\n",
    "for step_idx, rank in tqdm(enumerate(np.linspace(2, 128, 50, dtype=np.int64))):\n",
    "    s_t, spectrum_ratio = iterative_weight_update(W, s_t, mask.float(), rank=rank)\n",
    "    if spectrum_ratio > 0.99:\n",
    "        break\n",
    "ours_s_128 = s_t\n",
    "\n",
    "s_t = S.clone()\n",
    "for step_idx, rank in tqdm(enumerate(np.linspace(2, 512, 50, dtype=np.int64))):\n",
    "    s_t, spectrum_ratio = iterative_weight_update(W, s_t, mask, rank=rank)\n",
    "    if spectrum_ratio > 0.99:\n",
    "        pass\n",
    "        # break\n",
    "ours_s_512 = s_t"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Solarize_Light2', '_classic_test_patch', '_mpl-gallery', '_mpl-gallery-nogrid', 'bmh', 'classic', 'dark_background', 'fast', 'fivethirtyeight', 'ggplot', 'grayscale', 'seaborn-v0_8', 'seaborn-v0_8-bright', 'seaborn-v0_8-colorblind', 'seaborn-v0_8-dark', 'seaborn-v0_8-dark-palette', 'seaborn-v0_8-darkgrid', 'seaborn-v0_8-deep', 'seaborn-v0_8-muted', 'seaborn-v0_8-notebook', 'seaborn-v0_8-paper', 'seaborn-v0_8-pastel', 'seaborn-v0_8-poster', 'seaborn-v0_8-talk', 'seaborn-v0_8-ticks', 'seaborn-v0_8-white', 'seaborn-v0_8-whitegrid', 'tableau-colorblind10']\n"
     ]
    }
   ],
   "source": [
    "print(plt.style.available)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "'created' timestamp seems very low; regarding as unix timestamp\n",
      "'modified' timestamp seems very low; regarding as unix timestamp\n",
      "'created' timestamp seems very low; regarding as unix timestamp\n",
      "'modified' timestamp seems very low; regarding as unix timestamp\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 550x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "'created' timestamp seems very low; regarding as unix timestamp\n",
      "'modified' timestamp seems very low; regarding as unix timestamp\n",
      "'created' timestamp seems very low; regarding as unix timestamp\n",
      "'modified' timestamp seems very low; regarding as unix timestamp\n",
      "'created' timestamp seems very low; regarding as unix timestamp\n",
      "'modified' timestamp seems very low; regarding as unix timestamp\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 550x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def cumsum_svd(s):\n",
    "    return torch.cumsum(s * s, dim=0) / torch.sum(s * s)\n",
    "\n",
    "\n",
    "colors = [\n",
    "    \"#EA6B66\",\n",
    "    \"#7EA6E0\",\n",
    "    \"#97D077\",\n",
    "    \"#FFB570\",\n",
    "    \"#FF99FF\",\n",
    "    \"#CCCC00\",\n",
    "    \"#000099\",\n",
    "    \"#666666\",\n",
    "    \"#CCCCCC\",\n",
    "]\n",
    "\n",
    "# set font size to 16\n",
    "plt.rcParams.update({\"font.size\": 14})\n",
    "# set the font size of title to 16\n",
    "plt.rcParams.update({\"axes.titlesize\": 15})\n",
    "\n",
    "with torch.no_grad():\n",
    "    # Assuming singular_values is your dictionary with step_idx as keys and s (numpy arrays) as values\n",
    "    plt.figure(figsize=(5.5, 3))\n",
    "\n",
    "    plt.plot(\n",
    "        torch.linalg.svdvals(W.float() * (~mask)).detach().cpu().numpy(),\n",
    "        label=R\"$\\boldsymbol{S} =\\boldsymbol{W} \\odot \\boldsymbol{P}$\",\n",
    "        # dashed black line\n",
    "        color=\"black\",\n",
    "    )\n",
    "    plt.plot(\n",
    "        torch.linalg.svdvals(W - pcp_s).detach().cpu().numpy(),\n",
    "        label=\"PCP with mask\",\n",
    "        color=colors[0],\n",
    "        linestyle=\"--\",\n",
    "    )\n",
    "    plt.plot(\n",
    "        torch.linalg.svdvals(W - ours_s_64.float()).detach().cpu().numpy(),\n",
    "        label=\"Ours (k=64)\",\n",
    "        color=colors[1],\n",
    "    )\n",
    "    plt.plot(\n",
    "        torch.linalg.svdvals(W - ours_s_128.float()).detach().cpu().numpy(),\n",
    "        label=\"Ours (k=128)\",\n",
    "        color=colors[2],\n",
    "    )\n",
    "    plt.plot(\n",
    "        torch.linalg.svdvals(W - ours_s_512.float()).detach().cpu().numpy(),\n",
    "        label=\"Ours (k=512)\",\n",
    "        color=colors[3],\n",
    "    )\n",
    "\n",
    "    plt.xlabel(\"Singular Value Index\")\n",
    "\n",
    "    plt.ylabel(\"Singular Value Magnitude\")\n",
    "    plt.title(\"Spectrum of Singular Values\")\n",
    "    plt.legend()\n",
    "    # plt.yscale(\"log\")  # Use log scale for y-axis to better visualize the spectrum\n",
    "    plt.grid(True)\n",
    "\n",
    "    plt.savefig(\"spectrum.pdf\", bbox_inches=\"tight\")\n",
    "    plt.show()\n",
    "\n",
    "    # Assuming singular_values is your dictionary with step_idx as keys and s (numpy arrays) as values\n",
    "    plt.figure(figsize=(5.5, 3))\n",
    "\n",
    "    plt.plot(\n",
    "        cumsum_svd(torch.linalg.svdvals(W.float() * ~mask).detach()).cpu().numpy(),\n",
    "        label=R\"$\\boldsymbol{S} =\\boldsymbol{W} \\odot \\boldsymbol{P}$\",\n",
    "        # dashed black line\n",
    "        # linestyle=\"--\",\n",
    "        color=\"black\",\n",
    "    )\n",
    "    plt.plot(\n",
    "        cumsum_svd(torch.linalg.svdvals(W - pcp_s).detach()).cpu().numpy(),\n",
    "        label=\"PCP with mask\",\n",
    "        color=colors[0],\n",
    "        linestyle=\"--\",\n",
    "    )\n",
    "    plt.plot(\n",
    "        cumsum_svd(torch.linalg.svdvals(W - ours_s_64.float()).detach()).cpu().numpy(),\n",
    "        label=\"Ours (k=64)\",\n",
    "        color=colors[1],\n",
    "    )\n",
    "    plt.plot(\n",
    "        cumsum_svd(torch.linalg.svdvals(W - ours_s_128.float()).detach()).cpu().numpy(),\n",
    "        label=\"Ours (k=128)\",\n",
    "        color=colors[2],\n",
    "    )\n",
    "    plt.plot(\n",
    "        cumsum_svd(torch.linalg.svdvals(W - ours_s_512.float()).detach()).cpu().numpy(),\n",
    "        label=\"Ours (k=512)\",\n",
    "        color=colors[3],\n",
    "    )\n",
    "\n",
    "    plt.xlabel(\"Singular Value Index\")\n",
    "\n",
    "    plt.ylabel(\"Normalized Energy\")\n",
    "    plt.title(R\"Normalized Energy of $\\boldsymbol{L}_k$\")\n",
    "    plt.legend()\n",
    "    # plt.yscale(\"log\")  # Use log scale for y-axis to better visualize the spectrum\n",
    "    plt.grid(True)\n",
    "\n",
    "    plt.savefig(\"energy.pdf\", bbox_inches=\"tight\")\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Algorithm Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "linear = deepcopy(model.model.layers[0].self_attn.q_proj).to(\"cuda:4\")\n",
    "# linear.weight.data = torch.rand_like(linear.weight.data)\n",
    "W = linear.weight.clone()\n",
    "S = unstructured_magnitude_prune_(\n",
    "    W.clone(),\n",
    "    metric_function_or_scores=torch.abs,\n",
    "    sparsity_ratio=0.5,\n",
    ")\n",
    "mask: Tensor = S != 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "089c9faa20174472afb25ada24bc4b5e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/100 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 0: Loss 1520.411865234375\n",
      "Step 5: Loss 1723.2286376953125\n",
      "Step 10: Loss 1547.4130859375\n",
      "Step 15: Loss 1488.4818115234375\n",
      "Step 20: Loss 1447.9324951171875\n",
      "Step 25: Loss 1423.41357421875\n",
      "Step 30: Loss 1407.1278076171875\n",
      "Step 35: Loss 1395.8187255859375\n",
      "Step 40: Loss 1387.1905517578125\n",
      "Step 45: Loss 1380.0986328125\n",
      "Step 50: Loss 1373.8900146484375\n",
      "Step 55: Loss 1368.1787109375\n",
      "Step 60: Loss 1362.9515380859375\n",
      "Step 65: Loss 1357.9344482421875\n",
      "Step 70: Loss 1353.419677734375\n",
      "Step 75: Loss 1349.283203125\n",
      "Step 80: Loss 1345.74755859375\n",
      "Step 85: Loss 1342.7342529296875\n",
      "Step 90: Loss 1340.1978759765625\n",
      "Step 95: Loss 1338.445068359375\n"
     ]
    }
   ],
   "source": [
    "pcp_s = PCP_search_with_mask(W, mask, T_max=100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "46e41b7640644487813ea59233651752",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1583759c10b54016a9a376d0659a62bf",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9c4252cb78474291a2e008d6459c8fbd",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "s_t = S.clone()\n",
    "for step_idx, rank in tqdm(enumerate(np.linspace(2, 64, 50, dtype=np.int64))):\n",
    "    s_t, spectrum_ratio = iterative_weight_update(W, s_t, mask.float(), rank=rank)\n",
    "    if spectrum_ratio > 0.99:\n",
    "        break\n",
    "ours_s_64 = s_t\n",
    "\n",
    "s_t = S.clone()\n",
    "for step_idx, rank in tqdm(enumerate(np.linspace(2, 128, 50, dtype=np.int64))):\n",
    "    s_t, spectrum_ratio = iterative_weight_update(W, s_t, mask.float(), rank=rank)\n",
    "    if spectrum_ratio > 0.99:\n",
    "        break\n",
    "ours_s_128 = s_t\n",
    "\n",
    "s_t = S.clone()\n",
    "outs_s_512_at_steps = {}\n",
    "for step_idx, rank in tqdm(enumerate(np.linspace(1, 512, 50, dtype=np.int64))):\n",
    "    s_t, spectrum_ratio = iterative_weight_update(W, s_t, mask, rank=rank)\n",
    "    if spectrum_ratio > 0.99:\n",
    "        pass\n",
    "        # break\n",
    "    if (step_idx + 1) % 10 == 0:\n",
    "        outs_s_512_at_steps[step_idx + 1] = s_t.clone()\n",
    "ours_s_512 = s_t"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "'created' timestamp seems very low; regarding as unix timestamp\n",
      "'modified' timestamp seems very low; regarding as unix timestamp\n",
      "'created' timestamp seems very low; regarding as unix timestamp\n",
      "'modified' timestamp seems very low; regarding as unix timestamp\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 550x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "'created' timestamp seems very low; regarding as unix timestamp\n",
      "'modified' timestamp seems very low; regarding as unix timestamp\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 550x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def cumsum_svd(s):\n",
    "    return torch.cumsum(s * s, dim=0) / torch.sum(s * s)\n",
    "\n",
    "\n",
    "colors = [\n",
    "    \"#EA6B66\",\n",
    "    \"#7EA6E0\",\n",
    "    \"#97D077\",\n",
    "    \"#FFB570\",\n",
    "    \"#FF99FF\",\n",
    "    \"#CCCC00\",\n",
    "    \"#000099\",\n",
    "    \"#666666\",\n",
    "    \"#CCCCCC\",\n",
    "]\n",
    "\n",
    "# set font size to 16\n",
    "plt.rcParams.update({\"font.size\": 14})\n",
    "# set the font size of title to 16\n",
    "plt.rcParams.update({\"axes.titlesize\": 15})\n",
    "\n",
    "with torch.no_grad():\n",
    "    # Assuming singular_values is your dictionary with step_idx as keys and s (numpy arrays) as values\n",
    "    plt.figure(figsize=(5.5, 3))\n",
    "\n",
    "    plt.plot(\n",
    "        torch.linalg.svdvals(W.float() * (~mask)).detach().cpu().numpy(),\n",
    "        label=R\"$\\boldsymbol{S} =\\boldsymbol{W} \\odot \\boldsymbol{P}$\",\n",
    "        # dashed black line\n",
    "        color=\"black\",\n",
    "    )\n",
    "    plt.plot(\n",
    "        torch.linalg.svdvals(W - pcp_s).detach().cpu().numpy(),\n",
    "        label=\"PCP with mask\",\n",
    "        color=colors[0],\n",
    "        linestyle=\"--\",\n",
    "    )\n",
    "    plt.plot(\n",
    "        torch.linalg.svdvals(W - ours_s_64.float()).detach().cpu().numpy(),\n",
    "        label=\"Ours (k=64)\",\n",
    "        color=colors[1],\n",
    "    )\n",
    "    plt.plot(\n",
    "        torch.linalg.svdvals(W - ours_s_128.float()).detach().cpu().numpy(),\n",
    "        label=\"Ours (k=128)\",\n",
    "        color=colors[2],\n",
    "    )\n",
    "    plt.plot(\n",
    "        torch.linalg.svdvals(W - ours_s_512.float()).detach().cpu().numpy(),\n",
    "        label=\"Ours (k=512)\",\n",
    "        color=colors[3],\n",
    "    )\n",
    "\n",
    "    plt.xlabel(\"Singular Value Index\")\n",
    "\n",
    "    plt.ylabel(\"Singular Value Magnitude\")\n",
    "    plt.title(\"Spectrum of Singular Values\")\n",
    "    plt.legend()\n",
    "    plt.xscale(\"log\")  # Use log scale for y-axis to better visualize the spectrum\n",
    "    # plt.grid(True)\n",
    "    # instead of plot grid, plot x = 64, x=128 and x=512\n",
    "    plt.axvline(x=64, color=\"gray\", linestyle=\"--\")\n",
    "    plt.axvline(x=128, color=\"gray\", linestyle=\"--\")\n",
    "    plt.axvline(x=512, color=\"gray\", linestyle=\"--\")\n",
    "\n",
    "    plt.savefig(\"spectrum.pdf\", bbox_inches=\"tight\")\n",
    "    plt.show()\n",
    "\n",
    "    # Assuming singular_values is your dictionary with step_idx as keys and s (numpy arrays) as values\n",
    "    plt.figure(figsize=(5.5, 3))\n",
    "\n",
    "    plt.plot(\n",
    "        cumsum_svd(torch.linalg.svdvals(W.float() * ~mask).detach()).cpu().numpy(),\n",
    "        label=R\"$\\boldsymbol{S} =\\boldsymbol{W} \\odot \\boldsymbol{P}$\",\n",
    "        # dashed black line\n",
    "        # linestyle=\"--\",\n",
    "        color=\"black\",\n",
    "    )\n",
    "    plt.plot(\n",
    "        cumsum_svd(torch.linalg.svdvals(W - pcp_s).detach()).cpu().numpy(),\n",
    "        label=\"PCP with mask\",\n",
    "        color=colors[0],\n",
    "        linestyle=\"--\",\n",
    "    )\n",
    "    plt.plot(\n",
    "        cumsum_svd(torch.linalg.svdvals(W - ours_s_64.float()).detach()).cpu().numpy(),\n",
    "        label=\"Ours (k=64)\",\n",
    "        color=colors[1],\n",
    "    )\n",
    "    plt.plot(\n",
    "        cumsum_svd(torch.linalg.svdvals(W - ours_s_128.float()).detach()).cpu().numpy(),\n",
    "        label=\"Ours (k=128)\",\n",
    "        color=colors[2],\n",
    "    )\n",
    "    plt.plot(\n",
    "        cumsum_svd(torch.linalg.svdvals(W - ours_s_512.float()).detach()).cpu().numpy(),\n",
    "        label=\"Ours (k=512)\",\n",
    "        color=colors[3],\n",
    "    )\n",
    "\n",
    "    plt.xlabel(\"Singular Value Index\")\n",
    "\n",
    "    plt.ylabel(\"Normalized Energy\")\n",
    "    plt.title(R\"Normalized Energy of $\\boldsymbol{L}_k$\")\n",
    "    # plt.legend()\n",
    "    plt.xscale(\"log\")  # Use log scale for y-axis to better visualize the spectrum\n",
    "    # plt.grid(True)\n",
    "    plt.axvline(x=64, color=\"gray\", linestyle=\"--\")\n",
    "    plt.axvline(x=128, color=\"gray\", linestyle=\"--\")\n",
    "    plt.axvline(x=512, color=\"gray\", linestyle=\"--\")\n",
    "\n",
    "    plt.savefig(\"energy.pdf\", bbox_inches=\"tight\")\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "'created' timestamp seems very low; regarding as unix timestamp\n",
      "'modified' timestamp seems very low; regarding as unix timestamp\n",
      "'created' timestamp seems very low; regarding as unix timestamp\n",
      "'modified' timestamp seems very low; regarding as unix timestamp\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 550x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "'created' timestamp seems very low; regarding as unix timestamp\n",
      "'modified' timestamp seems very low; regarding as unix timestamp\n",
      "'created' timestamp seems very low; regarding as unix timestamp\n",
      "'modified' timestamp seems very low; regarding as unix timestamp\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 550x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def cumsum_svd_from_k(s):\n",
    "    s_square = s * s\n",
    "    # the i-th value: \\sum_{j=i}^{len(s)} s[j]^2\n",
    "    return torch.sqrt(torch.sum(s_square) - torch.cumsum(s_square, dim=0))\n",
    "\n",
    "\n",
    "colors = [\n",
    "    \"#EA6B66\",\n",
    "    \"#7EA6E0\",\n",
    "    \"#97D077\",\n",
    "    \"#FFB570\",\n",
    "    \"#FF99FF\",\n",
    "    \"#CCCC00\",\n",
    "    \"#000099\",\n",
    "    \"#666666\",\n",
    "    \"#CCCCCC\",\n",
    "]\n",
    "\n",
    "# set font size to 16\n",
    "plt.rcParams.update({\"font.size\": 14})\n",
    "# set the font size of title to 16\n",
    "plt.rcParams.update({\"axes.titlesize\": 15})\n",
    "\n",
    "with torch.no_grad():\n",
    "    # Assuming singular_values is your dictionary with step_idx as keys and s (numpy arrays) as values\n",
    "    plt.figure(figsize=(5.5, 3))\n",
    "\n",
    "    plt.plot(\n",
    "        torch.linalg.svdvals(W.float() * (~mask)).detach().cpu().numpy(),\n",
    "        label=R\"$\\boldsymbol{S} =\\boldsymbol{W} \\odot \\boldsymbol{P}$\",\n",
    "        # dashed black line\n",
    "        color=\"black\",\n",
    "    )\n",
    "    plt.plot(\n",
    "        torch.linalg.svdvals(W - pcp_s).detach().cpu().numpy(),\n",
    "        label=\"PCP with mask\",\n",
    "        color=colors[0],\n",
    "        linestyle=\"--\",\n",
    "    )\n",
    "    plt.plot(\n",
    "        torch.linalg.svdvals(W - ours_s_64.float()).detach().cpu().numpy(),\n",
    "        label=\"Ours (k=64)\",\n",
    "        color=colors[1],\n",
    "    )\n",
    "    plt.plot(\n",
    "        torch.linalg.svdvals(W - ours_s_128.float()).detach().cpu().numpy(),\n",
    "        label=\"Ours (k=128)\",\n",
    "        color=colors[2],\n",
    "    )\n",
    "    plt.plot(\n",
    "        torch.linalg.svdvals(W - ours_s_512.float()).detach().cpu().numpy(),\n",
    "        label=\"Ours (k=512)\",\n",
    "        color=colors[3],\n",
    "    )\n",
    "\n",
    "    plt.xlabel(\"Singular Value Index\")\n",
    "\n",
    "    plt.ylabel(\"Singular Value Magnitude\")\n",
    "    plt.title(\"Spectrum of Singular Values\")\n",
    "    plt.legend()\n",
    "    plt.xscale(\"log\")  # Use log scale for y-axis to better visualize the spectrum\n",
    "    # plt.grid(True)\n",
    "    # instead of plot grid, plot x = 64, x=128 and x=512\n",
    "    plt.axvline(x=64, color=\"gray\", linestyle=\"--\")\n",
    "    plt.axvline(x=128, color=\"gray\", linestyle=\"--\")\n",
    "    plt.axvline(x=512, color=\"gray\", linestyle=\"--\")\n",
    "\n",
    "    plt.savefig(\"spectrum.pdf\", bbox_inches=\"tight\")\n",
    "    plt.show()\n",
    "\n",
    "    # Assuming singular_values is your dictionary with step_idx as keys and s (numpy arrays) as values\n",
    "    plt.figure(figsize=(5.5, 3))\n",
    "\n",
    "    plt.plot(\n",
    "        cumsum_svd_from_k(torch.linalg.svdvals(W.float() * ~mask).detach())\n",
    "        .cpu()\n",
    "        .numpy(),\n",
    "        label=R\"$\\boldsymbol{S} =\\boldsymbol{W} \\odot \\boldsymbol{P}$\",\n",
    "        # dashed black line\n",
    "        # linestyle=\"--\",\n",
    "        color=\"black\",\n",
    "    )\n",
    "    plt.plot(\n",
    "        cumsum_svd_from_k(torch.linalg.svdvals(W - pcp_s).detach()).cpu().numpy(),\n",
    "        label=\"PCP with mask\",\n",
    "        color=colors[0],\n",
    "        linestyle=\"--\",\n",
    "    )\n",
    "    plt.plot(\n",
    "        cumsum_svd_from_k(torch.linalg.svdvals(W - ours_s_64.float()).detach())\n",
    "        .cpu()\n",
    "        .numpy(),\n",
    "        label=\"Ours (k=64)\",\n",
    "        color=colors[1],\n",
    "    )\n",
    "    plt.plot(\n",
    "        cumsum_svd_from_k(torch.linalg.svdvals(W - ours_s_128.float()).detach())\n",
    "        .cpu()\n",
    "        .numpy(),\n",
    "        label=\"Ours (k=128)\",\n",
    "        color=colors[2],\n",
    "    )\n",
    "    plt.plot(\n",
    "        cumsum_svd_from_k(torch.linalg.svdvals(W - ours_s_512.float()).detach())\n",
    "        .cpu()\n",
    "        .numpy(),\n",
    "        label=\"Ours (k=512)\",\n",
    "        color=colors[3],\n",
    "    )\n",
    "\n",
    "    plt.xlabel(\"Singular Value Index\")\n",
    "\n",
    "    plt.ylabel(\"Frobenius Norm\")\n",
    "    plt.title(R\"Frobenius norm of $\\|\\boldsymbol{L} - \\boldsymbol{L}_k\\|_F$\")\n",
    "    # plt.legend()\n",
    "    plt.xscale(\"log\")  # Use log scale for y-axis to better visualize the spectrum\n",
    "    # plt.yscale(\"log\")\n",
    "    # plt.grid(True)\n",
    "    plt.axvline(x=64, color=\"gray\", linestyle=\"--\")\n",
    "    plt.axvline(x=128, color=\"gray\", linestyle=\"--\")\n",
    "    plt.axvline(x=512, color=\"gray\", linestyle=\"--\")\n",
    "\n",
    "    plt.savefig(\"frobnius.pdf\", bbox_inches=\"tight\")\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a888dde71ac14f8dbfa8a6a5078a9473",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "s_t = S.clone()\n",
    "outs_s_512_at_steps = {}\n",
    "for step_idx, rank in tqdm(enumerate(np.linspace(1, 512, 50, dtype=np.int64))):\n",
    "    s_t, spectrum_ratio = iterative_weight_update(W, s_t, mask, rank=rank)\n",
    "    if spectrum_ratio > 0.99:\n",
    "        pass\n",
    "        # break\n",
    "    if (step_idx + 1) % 10 == 0:\n",
    "        outs_s_512_at_steps[step_idx + 1] = s_t.clone()\n",
    "ours_s_512 = s_t"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "'created' timestamp seems very low; regarding as unix timestamp\n",
      "'modified' timestamp seems very low; regarding as unix timestamp\n",
      "'created' timestamp seems very low; regarding as unix timestamp\n",
      "'modified' timestamp seems very low; regarding as unix timestamp\n",
      "'created' timestamp seems very low; regarding as unix timestamp\n",
      "'modified' timestamp seems very low; regarding as unix timestamp\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 550x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def lighten_color(color, amount=0.5):\n",
    "    \"\"\"\n",
    "    Lightens the given color by multiplying (1-luminosity) by the given amount.\n",
    "    Input can be matplotlib color string, hex string, or RGB tuple.\n",
    "\n",
    "    Examples:\n",
    "    >> lighten_color('g', 0.3)\n",
    "    >> lighten_color('#F034A3', 0.6)\n",
    "    >> lighten_color((.3,.55,.1), 0.5)\n",
    "    \"\"\"\n",
    "    import matplotlib.colors as mc\n",
    "    import colorsys\n",
    "\n",
    "    try:\n",
    "        c = mc.cnames[color]\n",
    "    except:\n",
    "        c = color\n",
    "    c = colorsys.rgb_to_hls(*mc.to_rgb(c))\n",
    "    return colorsys.hls_to_rgb(c[0], 1 - amount * (1 - c[1]), c[2])\n",
    "\n",
    "\n",
    "with torch.no_grad():\n",
    "    plt.figure(figsize=(5.5, 3))\n",
    "\n",
    "    plt.plot(\n",
    "        cumsum_svd_from_k(torch.linalg.svdvals(W.float() * ~mask).detach())\n",
    "        .cpu()\n",
    "        .numpy(),\n",
    "        label=R\"$\\boldsymbol{S} =\\boldsymbol{W} \\odot \\boldsymbol{P}$\",\n",
    "        # dashed black line\n",
    "        # linestyle=\"--\",\n",
    "        color=\"black\",\n",
    "    )\n",
    "    for color_idx, step_idx in enumerate([10, 20, 30, 40, 50]):\n",
    "        plt.plot(\n",
    "            cumsum_svd_from_k(\n",
    "                torch.linalg.svdvals(\n",
    "                    (W - outs_s_512_at_steps[step_idx]).float()\n",
    "                ).detach()\n",
    "            )\n",
    "            .cpu()\n",
    "            .numpy(),\n",
    "            label=f\"Ours (t={step_idx})\",\n",
    "            color=lighten_color(\"#994C00\", (color_idx + 2) / 6),\n",
    "        )\n",
    "\n",
    "    plt.xlabel(\"Singular Value Index\")\n",
    "\n",
    "    plt.ylabel(\"Frobenius Norm\")\n",
    "    plt.title(R\"Frobenius norm of $\\|\\boldsymbol{L} - \\boldsymbol{L}_k\\|_F$\")\n",
    "    plt.legend()\n",
    "    plt.xscale(\"log\")  # Use log scale for y-axis to better visualize the spectrum\n",
    "    # plt.yscale(\"log\")\n",
    "    # plt.grid(True)\n",
    "    plt.axvline(x=512, color=\"gray\", linestyle=\"--\")\n",
    "\n",
    "    plt.savefig(\"frobnius.pdf\", bbox_inches=\"tight\")\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "fusionbench",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
